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Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis

Environmental pollution and the associated societal health issues have attracted recent research attention. While most research has focused on the effect of air pollution on human health and local economies, few articles have discussed the environment, health, and economic development in in an integ...

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Detalles Bibliográficos
Autores principales: Zhang, Tao, Chiu, Yung-ho, Li, Ying, Lin, Tai-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163775/
https://www.ncbi.nlm.nih.gov/pubmed/30231588
http://dx.doi.org/10.3390/ijerph15092046
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author Zhang, Tao
Chiu, Yung-ho
Li, Ying
Lin, Tai-Yu
author_facet Zhang, Tao
Chiu, Yung-ho
Li, Ying
Lin, Tai-Yu
author_sort Zhang, Tao
collection PubMed
description Environmental pollution and the associated societal health issues have attracted recent research attention. While most research has focused on the effect of air pollution on human health and local economies, few articles have discussed the environment, health, and economic development in in an integrated analysis. This paper used a Dynamic Network SBM Model to evaluate production and health efficiencies in Chinese cities and found that the production efficiency scores were slightly higher than the health efficiency scores, with the two-stage efficiency scores in most cities having significant fluctuations. Labor, fixed assets, energy, GDP, and lung disease and mortality reduction efficiencies in the first stage were generally high; however, the medical input efficiencies in the second stage were low, indicating that there was there significant room for improvement in many cities.
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spelling pubmed-61637752018-10-12 Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis Zhang, Tao Chiu, Yung-ho Li, Ying Lin, Tai-Yu Int J Environ Res Public Health Article Environmental pollution and the associated societal health issues have attracted recent research attention. While most research has focused on the effect of air pollution on human health and local economies, few articles have discussed the environment, health, and economic development in in an integrated analysis. This paper used a Dynamic Network SBM Model to evaluate production and health efficiencies in Chinese cities and found that the production efficiency scores were slightly higher than the health efficiency scores, with the two-stage efficiency scores in most cities having significant fluctuations. Labor, fixed assets, energy, GDP, and lung disease and mortality reduction efficiencies in the first stage were generally high; however, the medical input efficiencies in the second stage were low, indicating that there was there significant room for improvement in many cities. MDPI 2018-09-18 2018-09 /pmc/articles/PMC6163775/ /pubmed/30231588 http://dx.doi.org/10.3390/ijerph15092046 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Tao
Chiu, Yung-ho
Li, Ying
Lin, Tai-Yu
Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis
title Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis
title_full Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis
title_fullStr Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis
title_full_unstemmed Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis
title_short Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis
title_sort air pollutant and health-efficiency evaluation based on a dynamic network data envelopment analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163775/
https://www.ncbi.nlm.nih.gov/pubmed/30231588
http://dx.doi.org/10.3390/ijerph15092046
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